STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks

Benchmark Model Rank Results
event-data-classification-on-cifar10-dvsSTAA-SNN (VGG-13, T=16)–Accuracy: 82.1
image-classification-on-cifar-10STAA-SNN (ResNet-19, T=4)–Percentage correct: 97.14
image-classification-on-cifar-100STAA-SNN (ResNet-19, T=4)–Percentage correct: 82.05
image-classification-on-imagenetSTAA-SNN (ResNet-34, T=4)–Top 1 Accuracy: 70.4%